Journal of Cognitive Sciences and Human Development. Vol.7(1), March 2021
The Effects of Exercise on the Psycho-cognitive Function of BrainDerived Neurotrophic Factor (BDNF) in the Young Adults
Nur Izzati Umar Zaman1, Mohd Zaki Salleh1,2, Najihah Hanisah Marmaya3, Haliza
Hasan4, Mokhtar Muhammad5, Sahol Hamid Abu Bakar6, and Teh Lay Kek1, 2*
1
Integrative Pharmacogenomics Institute (iPROMISE), UiTM Selangor Branch, Puncak Alam
Campus, 42300 Puncak Alam, Selangor, Malaysia
2
Faculty of Pharmacy, UiTM Selangor Branch, Puncak Alam Campus, 42300 Puncak Alam,
Selangor, Malaysia
3
Faculty of Business and Management, Universiti Teknologi MARA (UiTM) Melaka, Kampus
Alor Gajah, Km 26 Jalan Lendu, 78000 Alor Gajah, Melaka, MALAYSIA.
4
Faculty Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450, Shah
Alam, Selangor, Malaysia
5
Faculty of Communication and Media Studies Universiti Teknologi MARA, 40450, Shah Alam,
Selangor, Malaysia
6
Faculty of Civil Engineering, Universiti Teknologi MARA, 40450, Shah Alam, Selangor,
Malaysia
ABSTRACT
The benefit of exercise in inducing brain-derived neurotrophic factor (BDNF) functions in relation to
cognition had been reported. Nevertheless, the ambiguity remains with regards to the types of exercise and
the duration of exercise required for one to have beneficial effects. In this study, we aimed to analyse the
effects of varying modes of exercises and the duration required to improve BDNF functions, specifically in
the young adults. The types of exercises evaluated in the meta-analysis include (1) single bout of acute
aerobic exercise, (2) repeated and frequent sessions of aerobic exercise (program exercise) over a course of
several weeks, and (3) resistance training. Only a single bout of acute aerobic exercise (z=4.92, p=0.00001)
is sufficient to cause an increase in BDNF following exercise intervention, while program exercise (z=1.02,
p=0.31) and resistance training (z=0.92, p=0.36) demonstrated inconsistencies, some exhibited significant
increase in BDNF levels while others exhibited similar results with the control groups.
Keywords: brain-derived neurotrophic factor, BDNF, meta-analysis, exercise
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ARTICLE INFO
Email address: tehlaykek@uitm.edu.my (Teh Lay Kek)
*Corresponding author
https://doi.org/10.33736/jcshd.2767.2021
e-ISSN: 2550-1623
Manuscript received: 18 November 2020; Accepted: 1 February 2021; Date of publication: 25 March 2021
Copyright: This is an open-access article distributed under the terms of the CC-BY-NC-SA (Creative Commons Attribution-NonCommercial-ShareAlike 4.0
International License), which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original work of the
author(s) is properly cited.
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Journal of Cognitive Sciences and Human Development. Vol.7(1), March 2021
1
INTRODUCTION
Physical activity or commonly known as exercise, brings about a plethora of health benefits which
include (i) weight loss and prevention of obesity (Chaput et al., 2011), (ii) maintaining a normal
blood sugar and insulin level (Colberg et al., 2016), (iii) reducing the risk of heart disease
(Nystoriak & Bhatnagar, 2018), and (iv) reducing stress (Childs & de Wit, 2014). In addition to
the above benefits, extensive studies have been conducted on the molecular mechanisms governing
the effects of physical activity on human cognition. These studies have provided evidence that
proteins released from muscles, fat and even liver tissues during exercise were responsible for
neuronal plasticity (Yang et al., 2020) and survival (Lipsky & Marini, 2007), along with promoting
brain vascularisation (Lin et al., 2014).
Amongst the various neurotrophins that have been studied, brain-derived neurotrophic factor
(BDNF) has received remarkable recognition due to its involvement in developing and maintaining
a physiologically normal cognitive performance (Cattaneo et al., 2016). BDNF is also accounted
for cellular growth and development, regulation of mood, and mental processes of perception,
specifically learning and memory (la Rosa et al., 2019; Schmolesky et al., 2013).
Exercise may affect the release of BDNF, which in turn enhances the (i) neuroplasticity in the
brain (Calabrese et al., 2014), (ii) the ability of the brain to readjust to changes in surrounding and
to counter injury (Cacialli et al., 2018), (iii) in acquiring newly discovered knowledge by altering
autonomic networks and functions (Knaepen et al., 2010).
The effects of exercise on BDNF had been reported among neurologically impaired populations
as well as the elderly (Håkansson et al., 2017; Zembron-Lacny et al., 2016; Erickson et al., 2010).
However, there is no synthesis of evidence on exercise in inducing the levels of BDNF in young
adults. This study aimed to review the type, intensity as well as frequency of exercise-related to
BDNF levels in young adults. Consequently, this study evaluated the impact of physical activity
on the levels of BDNF in young adults specifically for; (1) the difference of BDNF levels over a
brief period of acute exercise in case-control and randomised control trial studies, (2) the
consequence of repeated and frequent aerobic exercise versus strength exercise following a
duration of time on BDNF levels.
We hope that the output of this review will shed lights on the positive effects of exercise on BDNF
levels in the younger population and provide an impetus for the young to improve their learning
potential, have fewer health-related problems and greater cognitive capacity. This study is
important for authorities such as schools or universities to strategies programmes to aid in
improving the cognitive functions of the young.
2
METHODS
The search strategy consisted of queries of multiple combinations such as (1) "brain-derived
neurotrophic factor" [Medical Subject Headings (MeSH)] OR "BDNF"; (2) "exercise" (MeSH)
OR "physical activity" OR "aerobic exercise" OR "resistance training"; (3) "healthy young adults"
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[MeSH] OR "university students" OR "college students". Boolean operators such as AND and OR
were incorporated. The web search engine used was PubMed and Google Scholar. In addition,
studies that were cited in the references of the key studies were also examined. Studies that fulfilled
the above criteria were retrieved. Only full-text articles written in English were included in this
study.
The data were independently extracted. Data on BDNF concentrations on both control and exercise
intervention groups, characteristics of the population, characteristics of exercise intervention,
duration of the programme, mode of exercise, dose, along with the intensity of exercise and other
additional information were also retrieved. For studies conducted on several exercise intervention
groups, the one with the highest intensity was chosen to compare to the control group. Studies
were then classified into categories of (i) single session of exercise, (ii) frequent and repeated
session of exercise and (iii) resistance training.
Only full-text articles were included in this study for review. The other inclusion criteria were: (1)
young adults, (2) intervention study design using exercise, (3) serum or plasma BDNF was
measured, (4) a case-control study. Studies were excluded for (1) rodent-based studies, (2) no
measurement of serum or plasma BDNF, (3) review studies, (4) subjects were elderly or patients
with neurological diseases, (5) no exercise intervention, (6) duplicates, (7) no control groups.
Quality assessment was carried out by assessing the risk of bias of the included studies using a
tool provided by the Cochrane Collaboration Group. Features assessed include 1. random sequence
generation (selection bias), 2. allocation concealment (selection bias), 3. blinding of participants
and personnel (performance bias), 4. blinding of outcome assessment (detection bias), 5.
incomplete outcome data (attrition bias), 6. selective reporting (reporting bias), and 7. other bias.
Each study was then assessed based on these features and was classified as low, high, or uncertain
bias risk.
Data were analysed and calculated with Cochrane Review Manager (RevMan) 5.4 statistical
software (Cochrane Collaboration, Oxford, England). A random-effect model was used to measure
standardised mean differences, a measure of effect size, as well as 95% confidence intervals. As
different assays were used to measure absolute BDNF concentrations along with different blood
samples (serum and plasma), standardised mean differences were chosen for the statistical
outcome (Dinoff et al., 2016). Also, standardised mean differences represent a point estimate of
the effect of an intervention. If a high heterogeneity with a large variation of the outcomes between
different studies is foreseen and expected, a random effect model would be favoured as opposed
to a fixed-effects model. Heterogeneity is calculated using Chi-square analysis. On the other hand,
inconsistencies of the results were assessed using I2 indices. Statistical significance for the analyses
was set at p <0.05.
3
RESULTS
A total of 110 articles were retrieved after duplicates were removed. These articles were then
screened by reading the titles and abstracts, resulting in a total of fifty-three (53) full-text articles
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for further assessment of eligibility. From those 53 articles, 35 full-text articles were excluded.
The articles excluded were 19 articles of non-case-control studies or randomised controlled trial
studies, ten articles which had no data regarding BDNF concentrations (mean ± standard deviation)
and seven articles were excluded as the studies were reported on elderly/ mental diseases/ animal
studies. In the end, 17 independent studies were incorporated in this analysis which comprised 253
cases and 245 controls. The selection process of the studies incorporated is shown in Figure 1. The
features of the studies included are presented in Table 1. Studies that provided information such
as age in range form and did not disclose gender distribution are remarked as non-available in the
table.
BDNF levels were measured using serum or plasma samples from participants in the studies. All
studies collected blood from the participants at rest, prior to exercise intervention as the basal level
of BDNF. After the exercise sessions, peripheral blood was collected to assess peripheral BDNF
levels post-exercise.
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Figure 1. Flow diagram that depicts the selection process of studies incorporate
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Table 1. Study features included in the meta-analysis
Description of
the study
Type of
sample
Age
Gender
(Mean±Standard distribution
Deviation)
(expressed
as % male)
Low vs High
Aerobic
Intensity
Serum
Exercise +
Learning vs
Learning
condition
Serum
High-intensity
exercise vs
Control group
Serum
23.6±3.1
48%
Single bout
Treadmill
running for 20
min
Voluntary
exercise vs
Resting group
Serum
21.9±1.0
100%
Single bout
Isometric
knee-extension
task for 20
minutes
Exercise group
vs Control
Plasma
21.7±0.6
100%
Single bout
28.8±5.6
N/A
100%
N/A
Duration
of exercise
program
Exercise
Mode
Single bout
Cycle
ergometer
until
exhaustion or
for up to 60
min
Single bout
Upper body
ergometer and
split-belt
walking
Exercise
Intensity
Study
Outcome
Reference
Increased
peripheral
BDNF level
in high
aerobic
intensity
Antunes et al.,
2020
Increased
peripheral
level of
BDNF
Helm et al.,
2017
85-90%
VO2max level
An elevation
in BDNF
level in
exercise
group
Hwang et al.,
2016
Moderate
An elevation
in BDNF
level
following
voluntary
exercise
Kimura et al.,
2019
60% VO2max
level
Transient
elevation of
100%
vVO2max
80% VO2max
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Cycle
ergometer for
30 min
Cognitive
Exercise (CE)
vs Physical
Exercise (PE)
Plasma
21.7±0.6
Low vs High
Aerobic
Intensity
Serum
Walking
condition vs
Relaxed
condition
Serum
22.1±2.7
49%
Low vs High
Aerobic
Intensity
Serum
22.4±1.9
100%
20.8±1.1
100%
100%
Single bout
plasma
BDNF level
following
exercise
intervention
Miyamoto,
Kou et al.,
2018
Cycle
ergometer for
30 min
60% VO2peak
level
Physical
Exercise
(PE) group
significantly
increased
plasma level
of BDNF
Treadmill
running until
energy
expenditure
measured by
the gas
analyser
reached 300
kcal
Lowintensity-50%
VO2max and
Highintensity- 85%
VO2max
Serum
BDNF levels
significantly
higher
immediately
after exercise
following
exercise of
high
intensity
Single bout
Treadmill
walking for 20
minutes
46% VO2max
Intervention
group
showed
increased
BDNF level
SchmidtKassow et al.,
2014
Single bout
Treadmill
walking for 30
minutes
60% VO2max
level
Serum
BDNF levels
significantly
higher
immediately
Tsai et al.,
2016
Single bout
Miyamoto,
Hashimoto, et
al., 2018
Roh et al.,
2017
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after high
intensity
Exercise group
vs Control
group
Serum
Exercise group
vs Control
group
Serum
Supervised
aerobic exercise
vs Control
group
Serum
Exercise group
vs Control
group
High-Strength
group (HSG) vs
Control group
N/A
15.1±0.4
25.0±3.3
N/A
100%
100%
8 weeks
12 weeks
6 weeks
Serum
24.4±2.7
100%
8 weeks
Serum
22.5±3.7
100%
8 weeks
Treadmill
running to
burn 200 kcal
3 days/week
40% and 60%
VO2 max
Exercise
group
showed
significant
elevation of
serum BDNF
levels
Treadmill
running to
burn 200 kcal
4 days/week
70% VO2max
Exercise
group
showed
significant
elevation of
serum BDNF
level
Treadmill
(Incremental
intensity)
3 days/week
until volitional
exhaustion
Intervention
group
showed
decreased
BDNF level
Bicycle
Ergometer for
50 min
Running on
treadmill until
3 days/week
VO2max
(ranging from
60% to 88%)
Intervention
group
showed
decreased
BDNF level
50%
sVO2max – 5
minutes &
Intervention
group
showed
Jeon and Ha,
2015
Jeon and Ha,
2017
Wagner et al.,
2015
Wagner et al.,
2017
Figueiredo et
al., 2019
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the completion
of 5 km
+ Strength
exercise
Exercise group
vs Control
group
Serum
Strength
training group
vs Control
group
Plasma
Training group
vs Control
group
100%
8 weeks
+
100% sVO2max
– 1 minute
increased
BDNF level
85 minutes/
day, 5 days/
week at rate of
perceived
exertion
(RPE) of
11~15
BDNF level
did not differ
between
exercise and
control
groups
Kim, 2015
Complete
body work out
until
exhaustion
3 days/week
VO2max
(ranging from
70% to 80%)
Intervention
group
showed
increased
BDNF level
Schiffer et al.,
2009
Bicycle
Ergometer for
60 min or until
the target
energy
expenditure
was reached
65-70 %
VO2max
Intervention
group
showed
increased
BDNF level
Seifert et al.,
2010
Taekwondo
20.6±1.1
Plasma
22.2±1.8
29.8±6.2
N/A
100%
12 weeks
6 weeks
Note. VO2max = maximum rate of oxygen consumption measured. N/A=non-available
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3.1
Risk of bias of included studies
The quality and risk of bias of the included studies were evaluated using the Cochrane
Collaboration tool. All the included studies did not mention blinding of participants and personnel
(performance bias) as well as blinding of outcome assessment (detection bias) except for Helm et
al. (2017). Moreover, most of the studies portrayed the thoroughness of data and the reporting of
the result. All studies had a low risk of selection bias as the word "random" grouping in their
studies; only 2 studies (Figueiredo et al., 2019; Tsai et al., 2016) mentioned assigned grouping.
Both studies (Figueiredo et al., 2019; Tsai et al., 2016) also had ambiguous allocation concealment;
hence it was judged as unclear risk. The risk of bias diagram and summary is shown in Figure 2.
Figure 2. Risk of bias diagram and summary
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3.2
Single Bouts of Acute Aerobic Exercise
Nine studies were evaluated and assessed. BDNF levels were measured before and after a short
period of acute aerobic exercise in both experimental and control groups of young adults (Antunes
et al., 2020; Kimura et al., 2019; Miyamoto, Hashimoto, et al., 2018; Miyamoto, Kou, et al., 2018;
Helm et al., 2017; Roh et al., 2017; Hwang et al., 2016; Tsai et al., 2016; Schmidt-Kassow et al.,
2014) (Table 1). The studies included were case-control studies and randomised controlled trial.
From the analysis, all studies showed an elevation in peripheral BDNF level post-exercise in
experimental groups. Four studies incorporated high or maximal intensity exercise until volitional
exhaustion, while another four studies incorporated program with moderate-intensity exercise, and
low-intensity exercise was reported in one study. Standardised Mean Differences of the BDNF
levels was 0.77 (95% Confidence Interval was 0.46 to 1.07, z=4.92, p<0.00001), and a low
heterogeneity was observed between the studies in which I2=41% (Figure 3).
Figure 3. Forest plot shows studies investigating on a single bout of acute aerobic exercise
(exercise vs control group) on BDNF levels.
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From the analysis, all studies showed an increase in peripheral BDNF level post-intervention
compared to during pre-intervention. Standardised Mean Differences of the BDNF levels was 1.00
(95% Confidence Interval was 0.43 to 1.58, z=3.40, p=0.0007), and a high heterogeneity was
observed between the studies in which I2=81% (Figure 4).
Figure 4. Forest plot shows studies investigating on a single bout of acute aerobic exercise (preintervention vs. post-intervention) of experimental groups on BDNF levels.
3.3
Repeated and Frequent Sessions of Aerobic Exercise (programme)
Four studies were chosen as they evaluated on the change of BDNF level following repeated and
frequent sessions of aerobic exercise programme over the course of several weeks (ranging from
six to twelve weeks) (Jeon & Ha, 2015, 2017; Wagner et al., 2015, 2017). Participants were
assigned to either group with exercise-intervention or without exercise-intervention. The exercise
programme of several weeks showed that only two studies exhibited significant elevation in
peripheral levels of BDNF in experimental groups while the other two did not. In relation to
intensity, all participants had undergone moderate and high or maximal intensity exercise
(Standardized Mean Differences: -0.28l; 95% Confidence Interval: -0.81 to 0.26, z=1.02, p=0.31),
and heterogeneity was observed between the studies in which I2=47% (Figure 5).
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Figure 5. Forest plot shows studies investigating repeated and frequent sessions of aerobic
exercise (programme) (exercise vs control group) on BDNF levels.
From the analysis, all studies showed an increase in peripheral BDNF level post-intervention
compared to during pre-intervention. Standardised Mean Differences of the BDNF levels was 0.29
(95% Confidence Interval was -0.10 to 0.67, z=1.47, p=0.14), and a low heterogeneity was
observed between the studies in which I2=0% (Figure 6).
Figure 6. Forest plot shows studies investigating repeated and frequent sessions of aerobic
exercise (programme) (pre-intervention vs post-intervention) of experimental groups on BDNF
levels.
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3.4
Resistance Training
The effects of repeated and frequent sessions of resistance exercise programme over the course of
several weeks (ranging from six to twelve weeks) were evaluated (Figueiredo et al., 2019; Kim,
2015; Seifert et al., 2010; Schiffer et al., 2009) (Table 1). Participants were assigned to either group
with exercise-intervention or without exercise. Out of the four studies, participants in three studies
exhibited changes in resting levels of BDNF in which BDNF levels increased after several weeks
of exercise intervention in experimental groups. However, one study showed a decrease in BDNF
level post-intervention. In relation to intensity, participants were involved in a moderate and high
or maximal intensity exercise (Standardised Mean Differences: 0.32; 95% Confidence Interval: 0.36 to 1.00, z=0.92, p=0.36), with a low observed heterogeneity between studies (I2= 44%)
(Figure 7).
Figure 7. Forest plot shows studies investigating strength/endurance exercise (exercise vs
control group) on BDNF levels.
From the analysis, two studies (Kim, 2015; Seifert et al., 2010) showed an increase in peripheral
BDNF level post-intervention compared to during pre-intervention while (Figueiredo et al., 2019;
Schiffer et al., 2009) showed a decrease in peripheral BDNF levels post-intervention. Standardised
Mean Differences of the BDNF levels was 0.20 (95% Confidence Interval was -0.44 to 0.84,
z=0.62, p=0.54), and a low heterogeneity was observed between the studies in which I2=40%
(Figure 8).
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Figure 8. Forest plot shows studies investigating strength/endurance exercise (pre-intervention
vs post-intervention) of experimental groups on BDNF levels.
4
DISCUSSION
An elevation of peripheral BDNF is desirable as it is associated with the brain neuroplasticity
(Yang et al., 2020), memory functions and learning process (Cunha et al., 2010); in addition to the
ability to delay the degenerative changes due to ageing (Oh et al., 2016). Neurotrophin is also
essential to the nervous system in terms of perceiving, receiving and adapting to stimuli (Calabrese
et al., 2014).
Szuhany et al.(2015) had reported the influence of exercise in relation to the resting peripheral
BDNF. Nevertheless, the number of studies included in this analysis is relatively small as the
population of interest is only restricted to neurologically intact healthy young adults. Therefore,
this meta-analysis provides insights into the effects of different modes of exercises on BDNF levels
in young, healthy adults.
From this study, a single session of acute aerobic exercise was shown to increase the peripheral
BDNF level in young adults significantly. However, there were inconsistencies in the level of
peripheral BDNF assessed following repeated and frequent sessions of aerobic exercise as well as
resistance training intervention of several weeks as some reported a significant increase in BDNF
levels (Figueiredo et al., 2019; Hötting et al., 2017; Jeon & Ha, 2017, 2015; Seifert et al., 2010;
Schiffer et al., 2009) while others did not ( Wagner et al., 2017, 2015; Kim, 2015). This could be
due to the relatively small sample size (the total number of subjects was less than 55) despite
several studies were included. This finding is similar to the one conducted by Dinoff et al. (2016),
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as it emphasises the higher effectiveness of aerobic exercise compared to resistance training in
elevating the levels of BDNF.
Basso and Suzuki (2017) had demonstrated in their study that acute aerobic exercises were highly
associated with the improvement of cognitive functions, specifically in the prefrontal cortex
region. While this may be true, Chang et al. (2017), on the other hand, reported that the outcome
of a single session of exercise on cognitive function is fairly minimal. Features such as exercise
mode, intensity and frequency of exercise emulate an essential role in regulating the level of
BDNF. According to Kim (2015), exercise can be divided into two broad types: aerobic exercise
and resistance exercise. Aerobic exercise specifically aims to augments adaptions of the heart and
blood vessels that elevates the peak oxygen consumption without compromising strength, while
resistance exercise augments muscle and the innervating nerves that elevate strength without
compromising peak oxygen consumption (Lambert & Evans, 2005). Two studies reported that
frequent and repeated sessions of aerobic exercise over the course of several weeks resulted in the
augmentation of peripheral BDNF as the final outcome (Jeon & Ha, 2015, 2017). However, there
were two other studies that reported otherwise (Wagner et al., 2017, 2015). The authors in the
latter studies speculated that this may be due to age, type of exercise implemented along with the
individuals' level of physical fitness prior to intervention and that some subjects may be nonresponsive to the physical exercise following several weeks of exercise-intervention.
Previous studies conducted to evaluate the outcome of resistance exercise found that it did not
bring about significant changes in the resting levels of BDNF (Goekint et al., 2010; Levinger et
al., 2008). Subsequently, studies were conducted to evaluate the changes of the level of BDNF
over the different duration of resistance exercises; over six weeks (Seifert et al., 2010), eight
weeks (Figueiredo et al., 2019; Kim, 2015) or 12 weeks (Schiffer et al., 2009). However, there
were inconsistencies in the findings of resistance exercise on peripheral BDNF level due to the
variable duration (6-12 weeks duration) incorporated in the studies. A meta-analysis conducted by
Knaepen et al. (2010) had proposed that the frequency of the resistance exercise adopted should
be five times a week for an elevation or improvement in BDNF level, instead of three times a
week. On the other hand, Kim (2015) reported that the exercise-intervention group showed a
decreased in BDNF level despite a frequency of exercise of five times a week over an 8-week
training duration.
It is difficult to put a specific number on the frequency, exercise period and mode of exercise
needed to bring about a consequential elevation in peripheral levels of BDNF due to
inconsistencies in previous findings. In short, an increased frequency of hours spent in exercise is
a suggestive measure in order to observe noticeable changes in BDNF levels. Nevertheless, it is
proposed that moderate to high-intensity exercises (VO2max of 60-90%) with a consistent four to
seven times per week instead of two to three times per week had a favourable increase in peripheral
BDNF levels as a result of repeated and frequent aerobic exercise. On the other hand, low-intensity
exercises are less efficacious in elevating BDNF level in healthy adults (Hötting et al., 2017).
Chang et al. (2012) demonstrated a moderate level of exercise intensity is beneficial in a way that
elevates the performance of working memory and the ability to switch between thinking about two
different concepts, while maximal exercise intensity is accountable for the improvement in
information processing speed.
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Moreover, interestingly, factors such as gender could influence the concentration of BDNF postexercise intervention. Previous studies showed that females exhibit lower concentrations of
peripheral BDNF levels post-exercise compared to males (Hwang et al., 2016; Schmidt-Kassow
et al., 2012, 2014). The finding in this study is consistent and similar to Szuhany et al.(2015), in
which peripheral BDNF did not show a significant increase in females compared to males' postexercise. According to Cubeddu et al. (2011), levels of BDNF differ during different menstrual
cycle phases in which women with and without premenstrual syndrome (PMS) exhibit variation
in patterns. Nevertheless, further studies ought to be carried out in order to assess the discrepancies
observed between gender.
In this review, also we investigated the influence of genetic variation to peripheral BDNF level
post-exercise. As we are all aware, genetic variation such as single nucleotide polymorphism
(SNP) plays an important role in determining one's activity-induced BDNF response. For example,
Val66Met is one of the most common SNP that is implicated in a reduced activity-induced BDNF
response (Lemos Jr et al., 2016). Individuals with Met66Met and Val66Met genotypes has
compromised BDNF emanation compared to Val66Val (Egan et al., 2003). Compromised
peripheral vascular reactivity following physical activity was reported to be associated with
Val66Met BDNF polymorphism (Lemos Jr et al., 2016). In the same study, participants with
Val66Val had an elevation of BDNF following aerobic exercise training. In another research
carried out by Helm et al. (2017), it was reported that individuals with Val66Met demonstrated to
have similar peripheral serum BDNF following participation in high-intensity exercise, and no
significant elevation of BDNF level was observed.
In fact, another research by Baird et al. (2018) proposed that the magnitude of the increase of
levels of BDNF following exercise was not significant. Nevertheless, of the intensity of exercise,
the change in BDNF is not linked to motor learning. That genotype does not differ in terms of
one's BDNF response to physical activity. This finding does not disprove the theory of the
influence of polymorphism on BDNF response but rather proposing that the circulating peripheral
BDNF may not provide full justification and sufficient reflection to the BDNF level in the CNS,
specifically the brain region.
5
CONCLUSION
Despite the small sample size, this study provides insights on the pragmatic outcome of different
forms of exercise from multiple studies to BDNF levels in young adults' population as assessed by
peripheral blood. For young adults, including and incorporating regular exercise as a routine may
increase BDNF levels, which generally improves cognitive capacity and aids in learning and
memory. We believed that exercise should be adopted as part of the activities in the education
curriculum. With the current globalisation and advancement of technology, young adults must
maintain a healthy and active lifestyle despite having easy access to everything and avoid idling.
Nevertheless, more studies ought to be conducted specifically focusing on university or college
students as studies are lacking. Incorporating exercise as part of the curriculum for student
development program in the university would help improve the students' learning and memory.
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ACKNOWLEDGEMENT
This project is funded by the Ministry of Higher Education Malaysia under FRGS (600IRMI/FRGS 5/3 (455/2019)).
REFERENCES
Antunes, B. M., Rossi, F. E., Teixeira, A. M., & Lira, F. S. (2020). Short-time high-intensity
exercise increases peripheral BDNF in a physical fitness-dependent way in healthy men. European
Journal of Sport Science, 20(1), 43–50. https://doi.org/10.1080/17461391.2019.1611929
Baird, J. F., Gaughan, M. E., Saffer, H. M., Sarzynski, M. A., Herter, T. M., Fritz, S. L., den
Ouden, D. B., & Stewart, J. C. (2018). The effect of energy-matched exercise intensity on brainderived neurotrophic factor and motor learning. Neurobiology of Learning and Memory, 156, 33–
44. https://doi.org/10.1016/j.nlm.2018.10.008
Basso, J. C., & Suzuki, W. A. (2017). The effects of acute exercise on mood, cognition,
neurophysiology, and neurochemical pathways: a review. Brain Plasticity, 2(2), 127–
152. https://doi.org/10.3233/bpl-160040
Cacialli, P., Palladino, A., & Lucini, C. (2018). Role of brain-derived neurotrophic factor during
the regenerative response after traumatic brain injury in adult zebrafish. Neural Regeneration
Research, 13(6), 941. https://doi.org/10.4103/1673-5374.233430
Calabrese, F., Rossetti, A. C., Racagni, G., Gass, P., Riva, M. A., & Molteni, R. (2014). Brainderived neurotrophic factor: a bridge between inflammation and neuroplasticity. Frontiers in
Cellular Neuroscience, 8, 430. https://doi.org/10.3389/fncel.2014.00430
Cattaneo, A., Cattane, N., Begni, V., Pariante, C. M., & Riva, M. A. (2016). The human BDNF
gene: peripheral gene expression and protein levels as biomarkers for psychiatric disorders.
Translational Psychiatry, 6(11), e958--e958. https://doi.org/10.1038/tp.2016.214
Chang, Y.-K., Alderman, B. L., Chu, C.-H., Wang, C.-C., Song, T.-F., & Chen, F.-T. (2017). Acute
exercise has a general facilitative effect on cognitive function: A combined ERP temporal
dynamics
and
BDNF
study.
Psychophysiology,
54(2),
289–
300. https://doi.org/10.1111/psyp.12784
Chang, Y.-K., Labban, J. D., Gapin, J. I., & Etnier, J. L. (2012). The effects of acute exercise on
cognitive
performance:
a
meta-analysis.
Brain
Research,
1453,
87–
101. https://doi.org/10.1016/j.brainres.2012.02.068
51
Journal of Cognitive Sciences and Human Development. Vol.7(1), March 2021
Chaput, J.-P., Klingenberg, L., Rosenkilde, M., Gilbert, J.-A., Tremblay, A., & Sjödin, A. (2011).
Physical activity plays an important role in body weight regulation. Journal of Obesity,
2011. https://doi.org/10.1155/2011/360257
Childs, E., & de Wit, H. (2014). Regular exercise is associated with emotional resilience to acute
stress
in
healthy
adults.
Frontiers
in
Physiology,
5,
161. https://doi.org/10.3389/fphys.2014.00161
Colberg, S. R., Sigal, R. J., Yardley, J. E., Riddell, M. C., Dunstan, D. W., Dempsey, P. C., Horton,
E. S., Castorino, K., & Tate, D. F. (2016). Physical activity/exercise and diabetes: a position
statement of the American Diabetes Association. Diabetes Care, 39(11), 2065–
2079. https://doi.org/10.2337/dc16-1728
Cubeddu, A., Bucci, F., Giannini, A., Russo, M., Daino, D., Russo, N., Merlini, S., Pluchino, N.,
Valentino, V., & Casarosa, E. (2011). Brain-derived neurotrophic factor plasma variation during
the different phases of the menstrual cycle in women with premenstrual syndrome.
Psychoneuroendocrinology, 36(4), 523–530. https://doi.org/10.1016/j.psyneuen.2010.08.006
Cunha, C., Brambilla, R., & Thomas, K. L. (2010). A simple role for BDNF in learning and
memory? Frontiers in Molecular Neuroscience, 3, 1. https://doi.org/10.3389/neuro.02.001.2010
Dinoff, A., Herrmann, N., Swardfager, W., Liu, C. S., Sherman, C., Chan, S., & Lanctôt, K. L.
(2016). The effect of exercise training on resting concentrations of peripheral brain-derived
neurotrophic
factor
(BDNF):
a
meta-analysis.
PloS
One,
11(9),
e0163037. https://doi.org/10.1016/j.biopsych.2017.02.723
Egan, M. F., Kojima, M., Callicott, J. H., Goldberg, T. E., Kolachana, B. S., Bertolino, A., Zaitsev,
E., Gold, B., Goldman, D., Dean, M., & others. (2003). The BDNF val66met polymorphism affects
activity-dependent secretion of BDNF and human memory and hippocampal function. Cell,
112(2), 257–269. https://doi.org/10.1016/s0092-8674(03)00035-7
Erickson, K. I., Prakash, R. S., Voss, M. W., Chaddock, L., Heo, S., McLaren, M., Pence, B. D.,
Martin, S. A., Vieira, V. J., Woods, J. A., McAuley, E., & Kramer, A. F. (2010). Brain-derived
neurotrophic factor is associated with age-related decline in hippocampal volume. The Journal of
Neuroscience: The Official Journal of the Society for Neuroscience, 30(15), 5368–
5375. https://doi.org/10.1523/jneurosci.6251-09.2010
Figueiredo, C., Antunes, B. M., Giacon, T. R., Vanderlei, L. C. M., Campos, E. Z., Peres, F. P.,
Clark, N. W., Panissa, V. L. G., & Lira, F. S. (2019). Influence of Acute and Chronic HighIntensity Intermittent Aerobic Plus Strength Exercise on BDNF, Lipid and Autonomic Parameters.
Journal of Sports Science & Medicine, 18(2), 359.
52
Journal of Cognitive Sciences and Human Development. Vol.7(1), March 2021
Goekint, M., De Pauw, K., Roelands, B., Njemini, R., Bautmans, I., Mets, T., & Meeusen, R.
(2010). Strength training does not influence serum brain-derived neurotrophic factor. European
Journal of Applied Physiology, 110(2), 285–293. https://doi.org/10.1007/s00421-010-1461-3
Håkansson, K., Ledreux, A., Daffner, K., Terjestam, Y., Bergman, P., Carlsson, R., Kivipelto, M.,
Winblad, B., Granholm, A.-C., & Mohammed, A. K. H. (2017). BDNF responses in healthy older
persons to 35 minutes of physical exercise, cognitive training, and mindfulness: associations with
working
memory
function.
Journal
of
Alzheimer's
Disease,
55(2),
645–
657. https://doi.org/10.3233/jad-160593
Helm, E. E., Matt, K. S., Kirschner, K. F., Pohlig, R. T., Kohl, D., & Reisman, D. S. (2017). The
influence of high intensity exercise and the Val66Met polymorphism on circulating BDNF and
locomotor
learning.
Neurobiology
of
Learning
and
Memory,
144,
77–
85. https://doi.org/10.1016/j.nlm.2017.06.003
Hötting, K., Schickert, N., Kaiser, J., Röder, B., & Schmidt-Kassow, M. (2017). The effects of
acute physical exercise on memory, peripheral BDNF, and cortisol in young adults. Neural
Plasticity, 2016. https://doi.org/10.1155/2016/6860573
Hwang, J., Brothers, R. M., Castelli, D. M., Glowacki, E. M., Chen, Y. T., Salinas, M. M., Kim,
J., Jung, Y., & Calvert, H. G. (2016). Acute high-intensity exercise-induced cognitive
enhancement and brain-derived neurotrophic factor in young, healthy adults. Neuroscience
Letters, 630, 247–253. https://doi.org/10.1016/j.neulet.2016.07.033
Jeon, Y., K., & Ha, C. H. (2015). Expression of brain-derived neurotrophic factor, IGF-1 and
cortisol elicited by regular aerobic exercise in adolescents. Journal of Physical Therapy Science,
27(3), 737–741. https://doi.org/10.1589/jpts.27.737
Jeon, Y., K., & Ha, C. H. (2017). The effect of exercise intensity on brain-derived neurotrophic
factor and memory in adolescents. Environmental Health and Preventive Medicine, 22(1), 1–
6. https://doi.org/10.1186/s12199-017-0643-6
Kim, Y. (2015). The effect of regular Taekwondo exercise on Brain-derived neurotrophic factor
and Stroop test in an undergraduate student. Journal of Exercise Nutrition & Biochemistry, 19(2),
73. https://doi.org/10.5717/jenb.2015.15060904
Kimura, T., Kaneko, F., Iwamoto, E., Saitoh, S., & Yamada, T. (2019). Neuromuscular electrical
stimulation increases serum brain-derived neurotrophic factor in humans. Experimental Brain
Research, 237(1), 47–56. https://doi.org/10.1007/s00221-018-5396-y
Knaepen, K., Goekint, M., Heyman, E. M., & Meeusen, R. (2010). Neuroplasticity—exerciseinduced response of peripheral brain-derived neurotrophic factor. Sports Medicine, 40(9), 765–
801. https://doi.org/10.2165/11534530-000000000-00000
53
Journal of Cognitive Sciences and Human Development. Vol.7(1), March 2021
la Rosa, A., Solana, E., Corpas, R., Bartrés-Faz, D., Pallàs, M., Vina, J., Sanfeliu, C., & GomezCabrera, M. C. (2019). Long-term exercise training improves memory in middle-aged men and
modulates peripheral levels of BDNF and Cathepsin B. Scientific Reports, 9(1), 1–
11. https://doi.org/10.1038/s41598-019-40040-8
Lambert, C. P., & Evans, W. J. (2005). Adaptations to aerobic and resistance exercise in the
elderly.
Reviews
in
Endocrine
and
Metabolic
Disorders,
6(2),
137–
143. https://doi.org/10.1007/s11154-005-6726-5
Lemos Jr, J. R., Alves, C. R., de Souza, S. B. C., Marsiglia, J. D. C., Silva, M. S. M., Pereira, A.
C., Teixeira, A. L., Vieira, E. L. M., Krieger, J. E., Negrão, C. E., & others. (2016). Peripheral
vascular reactivity and serum BDNF responses to aerobic training are impaired by the BDNF
Val66Met
polymorphism.
Physiological
Genomics,
48(2),
116–
123. https://doi.org/10.1152/physiolgenomics.00086.2015
Levinger, I., Goodman, C., Matthews, V., Hare, D. L., Jerums, G., Garnham, A., & Selig, S.
(2008). BDNF, metabolic risk factors, and resistance training in middle-aged individuals. Medicine
& Science in Sports & Exercise, 40(3), 535–541. https://doi.org/10.1249/mss.0b013e31815dd057
Lin, C.-Y., Hung, S.-Y., Chen, H.-T., Tsou, H.-K., Fong, Y.-C., Wang, S.-W., & Tang, C.-H.
(2014). Brain-derived neurotrophic factor increases vascular endothelial growth factor expression
and enhances angiogenesis in human chondrosarcoma cells. Biochemical Pharmacology, 91(4),
522–533. https://doi.org/10.1016/j.bcp.2014.08.008
Lipsky, R. H., & Marini, A. M. (2007). Brain-derived neurotrophic factor in neuronal survival and
behavior-related plasticity. Annals of the New York Academy of Sciences, 1122(1), 130–
143. https://doi.org/10.1196/annals.1403.009
Miyamoto, T., Hashimoto, S., Yanamoto, H., Ikawa, M., Nakano, Y., Sekiyama, T., Kou, K.,
Kashiwamura, S.-I., Takeda, C., & Fujioka, H. (2018). Response of brain-derived neurotrophic
factor to combining cognitive and physical exercise. European Journal of Sport Science, 18(8),
1119–1127. https://doi.org/10.1080/17461391.2018.1470676
Miyamoto, T., Kou, K., Yanamoto, H., Hashimoto, S., Ikawa, M., Sekiyama, T., Nakano, Y.,
Kashiwamura, S., Takeda, C., & Fujioka, H. (2018). Effect of neuromuscular electrical stimulation
on brain-derived neurotrophic factor. International Journal of Sports Medicine, 40(01), 5–
11. https://doi.org/10.1055/s-0043-120343
Nystoriak, M. A., & Bhatnagar, A. (2018). Cardiovascular effects and benefits of exercise.
Frontiers in Cardiovascular Medicine, 5, 135. https://doi.org/10.3389/fcvm.2018.00135
54
Journal of Cognitive Sciences and Human Development. Vol.7(1), March 2021
Oh, H., Lewis, D. A., & Sibille, E. (2016). The role of BDNF in age-dependent changes of
excitatory and inhibitory synaptic markers in the human prefrontal cortex.
Neuropsychopharmacology, 41(13), 3080–3091. https://doi.org/10.1038/npp.2016.126
Roh, H.-T., Cho, S.-Y., Yoon, H.-G., & So, W.-Y. (2017). Effect of exercise intensity on
neurotrophic factors and blood-brain barrier permeability induced by oxidative--nitrosative stress
in male college students. International Journal of Sport Nutrition and Exercise Metabolism, 27(3),
239–246. https://doi.org/10.1123/ijsnem.2016-0009
Schiffer, T., Schulte, S., Hollmann, W., Bloch, W., & Strüder, H. K. (2009). Effects of strength
and endurance training on brain-derived neurotrophic factor and insulin-like growth factor 1 in
humans. Hormone and Metabolic Research, 41(03), 250–254. https://doi.org/10.1055/s-00281093322
Schmidt-Kassow, M., Schädle, S., Otterbein, S., Thiel, C., Doehring, A., Lötsch, J., & Kaiser, J.
(2012). Kinetics of serum brain-derived neurotrophic factor following low-intensity versus highintensity
exercise
in
men
and
women.
Neuroreport,
23(15),
889–
893. https://doi.org/10.1097/wnr.0b013e32835946ca
Schmidt-Kassow, M., Zink, N., Mock, J., Thiel, C., Vogt, L., Abel, C., & Kaiser, J. (2014).
Treadmill walking during vocabulary encoding improves verbal long-term memory. Behavioral
and Brain Functions, 10(1), 24. https://doi.org/10.1186/1744-9081-10-24
Schmolesky, M. T., Webb, D. L., & Hansen, R. A. (2013). The effects of aerobic exercise intensity
and duration on levels of brain-derived neurotrophic factor in healthy men. Journal of Sports
Science & Medicine, 12(3), 502. https://doi.org/10.1113/ep085682
Seifert, T., Brassard, P., Wissenberg, M., Rasmussen, P., Nordby, P., Stallknecht, B., Adser, H.,
Jakobsen, A. H., Pilegaard, H., Nielsen, H. B., & others. (2010). Endurance training enhances
BDNF release from the human brain. American Journal of Physiology-Regulatory, Integrative and
Comparative Physiology, 298(2), R372--R377. https://doi.org/10.1152/ajpregu.00525.2009
Szuhany, K. L., Bugatti, M., & Otto, M. W. (2015). A meta-analytic review of the effects of
exercise on brain-derived neurotrophic factor. Journal of Psychiatric Research, 60, 56–
64. https://doi.org/10.1016/j.jpsychires.2014.10.003
Tsai, C.-L., Pan, C.-Y., Chen, F.-C., Wang, C.-H., & Chou, F.-Y. (2016). Effects of acute aerobic
exercise on a task-switching protocol and brain-derived neurotrophic factor concentrations in
young adults with different levels of cardiorespiratory fitness. Experimental Physiology, 101(7),
836–850. https://doi.org/10.1113/ep085682
Wagner, G., Herbsleb, M., Cruz, F. de la, Schumann, A., Brünner, F., Schachtzabel, C., Gussew,
A., Puta, C., Smesny, S., Gabriel, H. W., & others. (2015). Hippocampal structure, metabolism,
55
Journal of Cognitive Sciences and Human Development. Vol.7(1), March 2021
and inflammatory response after a 6-week intense aerobic exercise in healthy young adults: a
controlled trial. Journal of Cerebral Blood Flow & Metabolism, 35(10), 1570–
1578. https://doi.org/10.1038/jcbfm.2015.125
Wagner, G., Herbsleb, M., de la Cruz, F., Schumann, A., Köhler, S., Puta, C., Gabriel, H. W.,
Reichenbach, J. R., & Bär, K.-J. (2017). Changes in fMRI activation in anterior hippocampus and
motor cortex during memory retrieval after an intense exercise intervention. Biological
Psychology, 124, 65–78. https://doi.org/10.1016/j.biopsycho.2017.01.003
Yang, T., Nie, Z., Shu, H., Kuang, Y., Chen, X., Cheng, J., Yu, S., & Liu, H. (2020). The Role of
BDNF on Neural Plasticity in Depression. Frontiers in Cellular Neuroscience, 14,
82. https://doi.org/10.3389/fncel.2020.00082
Zembron-Lacny, A., Dziubek, W., Rynkiewicz, M., Morawin, B., & Woźniewski, M. (2016).
Peripheral brain-derived neurotrophic factor is related to cardiovascular risk factors in active and
inactive elderly men. Brazilian Journal of Medical and Biological Research,
49(7). https://doi.org/10.1590/1414-431x20165253
56